Qureos Mentor

Webster University

<div>Job Title: Data Scientist l 
Position Summary:
A Data Scientist l will be responsible for leveraging data to provide actionable insights, drive decision-making, and optimize healthcare and business outcomes. The role will use their strong background in data science, a passion for healthcare, and the ability to work in a cross-functional environment with product owners, data engineers, and business stakeholders. 
Key Duties and Responsibilities:
Participate in all project phases from concept, requirements, development, test, and production support
<ul><li>Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models.
</li><li>Ensure the security, confidentiality, and integrity of client information
 </li></ul>Data Analysis &amp; Modeling:
<ul><li>Create and refine predictive algorithms that support the suite of Star Quality product offerings as well as the overall client satisfaction initiatives for Pareto IntelligenceTM. Analyze large and complex healthcare datasets (e.g., clinical, operational, and patient data) to identify trends, patterns, and insights. Develop predictive models and advanced analytics to inform healthcare strategies and program decisions.
 </li></ul>Machine Learning &amp; AI:
<ul><li>Design, develop, and deploy machine learning algorithms and artificial intelligence solutions to improve insights, workflows, predictive diagnostics, outcomes, and operational efficiency.
</li><li>Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models.
</li></ul>Data Integration &amp; Cleaning:
<ul><li>Work with diverse healthcare data sources, including electronic health records (EHR), claims data, clinical trial data, and sensor data, ensuring data is clean, accurate, and well-prepared for analysis.
</li></ul>Collaboration with Cross-Functional Teams
<ul><li>Collaborate closely with healthcare professionals, product teams, engineers, and business stakeholders to define analytical goals, communicate insights, and implement data-driven solutions.
</li><li>Participate in all project phases from concept, requirements, development, test, and production support
</li></ul>Visualization &amp; Reporting:
<ul><li>Create clear, actionable reports and dashboards that communicate complex data findings to non-technical stakeholders, including clinicians, executives, and healthcare administrators.
</li></ul>Continuous Improvement:
<ul><li>Stay up-to-date with the latest advancements in data science, healthcare technology, and analytics tools. Contribute to the development of new methodologies and approaches for improving Star analytic capabilities and supporting client needs through data science.
</li></ul>Compliance &amp; Security:
Ensure all data analyses and machine learning models maintain the integrity of client information and comply with healthcare regulations such as HIPAA, data privacy laws, and security best practices. 
<ul><li>
</li></ul>Education and Experience:
<ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Computer Science, Statistics, Epidemiology, Biomedical Engineering, or a related field.
</li><li>Experience: 3+ years of experience in data science, with a focus on healthcare or life sciences (or equivalent academic/research experience). Strong experience with machine learning algorithms, statistical modeling, and data analytics tools. Familiarity with healthcare data sources and formats, including EHR/EMR systems, claims data, HEDIS data, survey-based data and prescription drug event data.
</li><li>Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience working in JupyterHub environment and experience with data manipulation libraries (e.g., Pandas, NumPy,), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and statistical analysis tools. Knowledge of data visualization tools such as Tableau, Power BI, or custom dashboards. Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) is a plus.
</li><li>Analytical &amp; Problem-Solving Skills: Strong ability to work with design experiments, and develop complex models to solve healthcare-related challenges. Experience/exposure to big data technologies such as Hadoop, Spark, Docker, and Airflow preferred.
</li><li>Communication Skills: Ability to present complex data and technical findings in a clear, concise, and actionable manner to both technical and non-technical audiences.
</li><li>Healthcare Knowledge: A solid understanding of healthcare systems, clinical workflows, and healthcare industry regulations (HIPAA, HITRUST, etc.) is a plus.
</li></ul>Preferred Qualifications
<ul><li>Experience working with Medicare Advantage, Star Ratings, clinical decision support tools, healthcare prediction models, or patient outcome tracking systems.
</li><li>Familiarity with Natural Language Processing (NLP) and text mining techniques for processing unstructured healthcare data.
</li><li>Experience with healthcare reimbursement and claims data analysis.
</li>Knowledge of health economics, epidemiology, or health policy. 
<li>
</li></ul>Knowledge, Skills, and Abilities:
<ul><li>Complex Problem Solving - Ability to identify and solve problems by reviewing related information, evaluating options and implementing solutions.
</li><li>Critical Thinking - Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
</li><li>Deductive Reasoning &ndash; Ability to apply general rules to specific problems to produce answers that make sense.
</li><li>Inductive Reasoning &ndash; Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events).
</li><li>Quantitative and Analytical Skills - Ability to apply quantitative and statistical analysis techniques to unstructured problems.
</li><li>Strong Communication Skills &ndash; Ability to communicate information and ideas orally and in writing clearly and concisely.
</li><li>Positive, flexible, and self-motivated attitude, along with the ability to work as a collaborative team player.
</li><li>Excellent attention to details, accuracy and follow up.
</li><li>Ability to set priorities and work on multiple tasks simultaneously.
</li>Excellent oral and written communication skills. 
<li>
</li></ul>The expected base salary for this position ranges from $72,000-120,000 with a bonus target of up to 5% of the base salary. We do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate&rsquo;s relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions. 
 
Equal Employment Opportunity Statement:
 
 
Convey Health Solutions is an Equal Opportunity Employer committed to fostering an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.
 
 
Convey Health Solutions also provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. Applicants requiring accommodation during the application or interview process should contact the Human Resources department. 
 
The Convey Health Solutions family of companies, including Pareto Intelligence&trade;, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post, Affordable Care Act environment.
 
As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle, from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto&rsquo;s deep analytics and financial intelligence complement Conveys&rsquo; operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans, especially seniors and vulnerable populations.
 
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most.
 
 
Learn more at www.ConveyHealthSolutions.com.</div>
 <div><div>About Us
 
Convey Health Solutions, together with Pareto Intelligence&trade;, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post-Affordable Care Act environment.
 
 
As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle-from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto's deep analytics and financial intelligence complement Convey's operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans-especially seniors and vulnerable populations.
 
 
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most. Learn more at http://www.ConveyHealthSolutions.com</div></div><div></div>

Data Scientist I

<div>Job Title: Senior Data Engineer 
Position Summary:
The Sr. Data Engineer drives the build, design and implementation of enterprise-grade data pipelines and platform components across healthcare use cases. With expert knowledge of data modeling, distributed processing (e.g., Spark, Airflow), and cloud-based architectures, they ensure that data infrastructure is secure, performant, and scalable. In addition to building, they champion code quality, observability, and CI/CD best practices using Git and Infrastructure as Code. They lead teams by example in sprint execution, backlog management, and inter-team communication&mdash;frequently interfacing with analysts, data scientists, and product owners to ensure alignment and shared understanding. 
<h1 class="jobSectionHeader">Essential Duties and Responsibilities:
</h1><ul><li>Build enterprise-level scalable, low-latency, fault-tolerant data platforms that provide meaningful and timely insights.
</li><li>Collaborate with a team of engineers to design and build data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services, Iceberg, Airflow) for medium to large-scale datasets.
</li><li>Influence best practices for data pipeline design, data architecture, and processing of structured and unstructured data.
</li><li>Automate and manage Git workflows, including CI/CD pipelines and Git hooks for data pipeline validation.
</li><li>Design and deploy event-driven serverless functions using AWS Lambda, Step Functions, or API Gateway.
</li><li>Implement and manage feature flag frameworks to support safe data product rollouts.
</li><li>Identify and resolve data quality issues, including inaccuracies and incomplete information. Enhance data quality efforts by implementing improved procedures and processes.
</li><li>Author detailed technical specifications and design documents for internal data products.
</li><li>Work in a creative &amp; collaborative environment driven by agile methodologies.
</li><li>Continuously improve our products, systems, code, and team processes. Implement best practices and raise the bar by introducing new ones.
</li></ul><h2 class="jobSectionHeader">Education and Experience:
</h2><ul><li>Bachelor&rsquo;s degree in data engineering, Computer Science.
</li><li>Python &amp; PySpark (6&ndash;8 yrs) &ndash; Designed reusable data pipeline frameworks and transformations for healthcare data.
</li><li>Airflow (5&ndash;6 yrs) &ndash; Authored complex DAGs to orchestrate multi-stage ETL workflows across systems.
</li><li>AWS Glue &amp; Lambda (4&ndash;6 yrs) &ndash; Led implementation of serverless ingestion pipelines integrated with S3.
</li><li>Iceberg (2+ yrs) &ndash; Modeled transactional lakehouse tables with schema evolution and time-travel support.
</li><li>EMR Studio (2&ndash;3 yrs) &ndash; Used for pipeline prototyping, debugging, and notebook-based collaboration.
</li>Docker/Kubernetes (3&ndash;5 yr) &ndash; Built and deployed containerized ETL pipelines using Docker; leveraged Kubernetes to orchestrate scalable data workflows in production environments 
<li>
</li></ul>The expected base salary for this position ranges from $120,000-135,000 with a bonus target of up to 5% of the base salary. We do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate&rsquo;s relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions. 
 
Equal Employment Opportunity Statement:
 
 
Convey Health Solutions is an Equal Opportunity Employer committed to fostering an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.
 
 
Convey Health Solutions also provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. Applicants requiring accommodation during the application or interview process should contact the Human Resources department. 
 
The Convey Health Solutions family of companies, including Pareto Intelligence&trade;, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post, Affordable Care Act environment.
 
As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle, from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto&rsquo;s deep analytics and financial intelligence complement Conveys&rsquo; operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans, especially seniors and vulnerable populations.
 
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most.
 
 
Learn more at www.ConveyHealthSolutions.com.</div>
 <div><div>About Us
 
Convey Health Solutions, together with Pareto Intelligence&trade;, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post-Affordable Care Act environment.
 
 
As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle-from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto's deep analytics and financial intelligence complement Convey's operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans-especially seniors and vulnerable populations.
 
 
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most. Learn more at http://www.ConveyHealthSolutions.com</div></div><div></div>

Senior Data Engineer

Join Webster University and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Webster University

About Company

Data Scientist I

Senior Data Engineer